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Update README.md

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@@ -11,6 +11,10 @@ pipeline_tag: text-to-speech
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  # Parler-TTS v0.1
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  **Parler-TTS v0.1** is a lightweight text-to-speech (TTS) model, trained on 10.5K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation)
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@@ -42,8 +46,6 @@ audio_arr = generation.cpu().numpy().squeeze()
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  sf.write("parler_tts_out.wav", audio_arr, model.config.sampling_rate)
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  ```
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- **NOTE:** You can directly try it out in an interactive demo [here](https://huggingface.co/spaces/parler-tts/parler_tts_mini)!
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  **Tips**:
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  * Include the term "very clear audio" to generate the highest quality audio, and "very noisy audio" for high levels of background noise
 
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  # Parler-TTS v0.1
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+ <a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts_mini">
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+ <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HuggingFace"/>
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+ </a>
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+
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  **Parler-TTS v0.1** is a lightweight text-to-speech (TTS) model, trained on 10.5K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation)
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  sf.write("parler_tts_out.wav", audio_arr, model.config.sampling_rate)
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  ```
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  **Tips**:
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  * Include the term "very clear audio" to generate the highest quality audio, and "very noisy audio" for high levels of background noise